Sliding across a surface: particles with fixed and mobile ligands

TL;DR

This paper develops a quantitative model for the diffusion of particles with ligands at interfaces, revealing how reversible ligand-receptor interactions influence particle mobility and providing equations validated by simulations.

Contribution

It introduces analytic equations for sliding diffusion constants of particles with mobile and fixed ligands, validated through reaction-diffusion simulations.

Findings

Particles with reversible ligand-receptor bonds exhibit diffusive behavior over time.

Analytic expressions accurately predict the diffusion constants for different ligand configurations.

Results enable inference of microscopic parameters from experimental particle trajectories.

Abstract

A quantitative model of the mobility of functionalized particles at the interface is pivotal to understanding important systems in biology and nanotechnology. In this work, we investigate the emerging dynamics of particles anchored through ligand-receptor bridges to functionalized surfaces. We consider systems with reversible bridges in which ligand-receptor pairs bind/unbind with finite reaction rates. For a given set of bridges, the particle can explore a tiny fraction of the surface as the extensivity of the bridges is finite. We show how at time scales longer than the bridges' lifetime, the averaged position of the particle diffuses away from its initial value. We distill our findings into two analytic equations for the sliding diffusion constant of particles carrying mobile and fixed ligands. We quantitatively validate our theoretical predictions using reaction-diffusion simulations. Our results, along with recent literature, will allow inferring the microscopic parameters at play in complex biological systems from experimental trajectories.